model.py
1 from mlflow.models import ModelConfig, set_model 2 3 4 def predict(model_input): 5 model_config = ModelConfig() 6 timeout = model_config.get("timeout") 7 return [timeout] * len(model_input) 8 9 10 set_model(predict)
1 from mlflow.models import ModelConfig, set_model 2 3 4 def predict(model_input): 5 model_config = ModelConfig() 6 timeout = model_config.get("timeout") 7 return [timeout] * len(model_input) 8 9 10 set_model(predict)